{"id":"https://openalex.org/W4402593232","doi":"https://doi.org/10.1109/icce-taiwan62264.2024.10674149","title":"Identification of Emergency Vehicle Sirens Based on Deep Learning","display_name":"Identification of Emergency Vehicle Sirens Based on Deep Learning","publication_year":2024,"publication_date":"2024-07-09","ids":{"openalex":"https://openalex.org/W4402593232","doi":"https://doi.org/10.1109/icce-taiwan62264.2024.10674149"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan62264.2024.10674149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan62264.2024.10674149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110674043","display_name":"Shu\u2010Min Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I32078218","display_name":"National Penghu University of Science and Technology","ror":"https://ror.org/03fxxpd92","country_code":"TW","type":"education","lineage":["https://openalex.org/I32078218"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Shu-Min Tsai","raw_affiliation_strings":["National Penghu University of Sci. and Tech.,Dept. of Communication Engineering"],"affiliations":[{"raw_affiliation_string":"National Penghu University of Sci. and Tech.,Dept. of Communication Engineering","institution_ids":["https://openalex.org/I32078218"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058841655","display_name":"Ming\u2010Lin Chuang","orcid":"https://orcid.org/0000-0001-8960-1678"},"institutions":[{"id":"https://openalex.org/I32078218","display_name":"National Penghu University of Science and Technology","ror":"https://ror.org/03fxxpd92","country_code":"TW","type":"education","lineage":["https://openalex.org/I32078218"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Lin Chuang","raw_affiliation_strings":["National Penghu University of Sci. and Tech.,Dept. of Communication Engineering"],"affiliations":[{"raw_affiliation_string":"National Penghu University of Sci. and Tech.,Dept. of Communication Engineering","institution_ids":["https://openalex.org/I32078218"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109783591","display_name":"Wen-Pu Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I32078218","display_name":"National Penghu University of Science and Technology","ror":"https://ror.org/03fxxpd92","country_code":"TW","type":"education","lineage":["https://openalex.org/I32078218"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Pu Yang","raw_affiliation_strings":["National Penghu University of Sci. and Tech.,Dept. of Communication Engineering"],"affiliations":[{"raw_affiliation_string":"National Penghu University of Sci. and Tech.,Dept. of Communication Engineering","institution_ids":["https://openalex.org/I32078218"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110674043"],"corresponding_institution_ids":["https://openalex.org/I32078218"],"apc_list":null,"apc_paid":null,"fwci":1.0878,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81348434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"535","last_page":"536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.911300003528595,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.911300003528595,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6758901476860046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5637602806091309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3809989094734192},{"id":"https://openalex.org/keywords/aeronautics","display_name":"Aeronautics","score":0.34546488523483276},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2705950140953064}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6758901476860046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5637602806091309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3809989094734192},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.34546488523483276},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2705950140953064},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan62264.2024.10674149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan62264.2024.10674149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2988810581","https://openalex.org/W3097079238"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Ambulances,":[0],"police":[1],"cars":[2],"and":[3,41,53,67,89],"fire":[4],"trucks":[5],"are":[6,76,95],"emergency":[7,39],"vehicles":[8,40],"that":[9],"need":[10],"to":[11,14,26,29,37],"go":[12],"quickly":[13],"deal":[15],"with":[16,78],"things.":[17],"The":[18,45,86],"road":[19],"should":[20],"be":[21],"as":[22,24,56,82,84],"clear":[23],"possible":[25],"allow":[27],"them":[28],"pass":[30],"quickly.":[31],"This":[32],"research":[33],"uses":[34,49,54],"deep":[35,46],"learning":[36,47],"identify":[38],"provide":[42],"warning":[43],"applications.":[44],"architecture":[48],"the":[50,57,61,68,73],"CNN":[51],"module":[52],"MFCC":[55],"input":[58],"pattern.":[59],"When":[60],"signal":[62],"dimension":[63],"is":[64,71],"[20,":[65],"22]":[66],"sampling":[69],"rate":[70,81],"44100,":[72],"best":[74],"results":[75],"obtained,":[77],"an":[79],"accuracy":[80],"high":[83],"98%.":[85],"precision,":[87],"recall":[88],"F1":[90],"score":[91],"of":[92],"test":[93],"file":[94],"about":[96],"equal":[97],"1.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
